In 30 seconds

Use normal automation when the rule is stable. Use AI when the work requires interpretation. Use an agent only when the system also needs to choose and perform allowed actions.

Many useful workflows combine all three.

The simplest useful distinction

If the task...Prefer
follows a stable if → then ruledeterministic automation
requires interpreting language or documentsan AI-assisted step
should produce a draft or recommendationan AI assistant
may choose and execute low-risk allowed actionsa controlled agent

The goal is not to reach the most advanced category. It is to use the least complex mechanism that solves the problem reliably.

Automation follows a defined rule

An automation might say:

IF invoice total is above €10,000
THEN request manager approval

The same input should produce the same result. This makes the behavior easier to test, explain and maintain.

AI interprets

An AI step might read an incoming email and decide whether the customer is asking about sales, support or billing.

That decision depends on language and context. The result is probabilistic: it can vary and can be wrong.

AI becomes useful when interpretation would be difficult to express as a stable set of rules.

An assistant prepares work

An assistant may summarize the email, retrieve the customer record and draft a response. A person still decides whether to use the result or take the action.

This can remove repetitive preparation without giving the system authority over the final outcome.

An agent can choose and act within boundaries

An agent may use model output to choose between allowed steps or tools. For example, it could classify a request, retrieve an order and create a draft ticket in the correct queue.

The important question is not whether it feels autonomous. Ask what it may read, decide and change.

A combined workflow

EMAIL ARRIVES
      ↓
AI CLASSIFIES THE REQUEST
      ↓
FIXED RULE CHECKS ACCOUNT AND RISK
      ↓
AI DRAFTS THE NEXT ACTION
      ↓
PERSON APPROVES
      ↓
AUTOMATION EXECUTES AND LOGS

Each mechanism is doing the part that fits it.

What to ask before choosing

  1. Can the decision be written as a stable rule?
  2. Does the task require interpreting variable language or documents?
  3. What happens when the interpretation is wrong?
  4. Does the system need to act, or is a draft enough?
  5. Can a person efficiently review the result?
  6. Which actions are safe to reverse?

What this does not solve

Calling a workflow an automation, assistant or agent does not define its safety. You still need reliable inputs, explicit permissions, tested boundaries, logging and an owner after launch.

Good enough to move on when

  • Every step is marked as fixed rule, interpretation, human judgment or action.
  • You can explain why AI is useful in the steps that use it.
  • The system's allowed actions are separate from its technical capabilities.